Paper Title:
A Two-Stage Optimization Method for the Stencil Printing Process Based on Neural Network and Response Surface Method
| Periodical | Advanced Materials Research (Volumes 156 - 157) |
|---|---|
| Main Theme | Advanced Manufacturing Technology |
| Edited by | Jingtao Han, Zhengyi Jiang and Sihai Jiao |
| Pages | 10-17 |
| DOI | 10.4028/www.scientific.net/AMR.156-157.10 |
| Citation | Er Shun Pan et al., 2010, Advanced Materials Research, 156-157, 10 |
| Online since | October, 2010 |
| Authors | Er Shun Pan, Yao Jin, Zhao Mei, Ying Wang |
| Keywords | Interactive Method, Neural Network (NN), Optimization, Response Surface Method (RSM), Surface Mount Technology (SMT) |
| Price | US$ 28,- |
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Abstract
A stencil printing process (SPP) optimization problem is studied in this paper. Due to the limitation that neural network requires a large number of samples for the accurate model fitting, a two-stage SPP optimization method is proposed. The design interval can be reduced with small sample by using neural network. In this reduced design interval , response surface method is adopted to obtain the accurate mathematical SPP model. The concept of confidence level is introduced to make the proposed model robust. An interactive method is used to solve the model. The proposed method is compared with the one-stage optimization method and the results show that the proposed method achieves a better performance on each objective.
